Natalia Semenova
Natalia is a cybersecurity professional based in Toronto, Canada. She has over 15 years of experience in cryptography, identity and access management and cloud security. Within the past 3 years Natalia has been doing extensive research in AI security and MLSecOps as a part of her work at Google. She is passionate about open source and mentoring the new generation of cybersecurity specialists.
Session
You have just finished mapping your cloud security controls to NIST CSF/ISO27001... and now have to deal with NIST AI RMF, MITRE ATLAS and ISO27053, because your organization is adopting AI/ML.
Do you really need to water this enormous garden of frameworks? Would it be possible to make a neat herbarium instead and reuse already existing mappings to demonstrate your compliance? Do all major cloud providers (AWS, Azure, GCP) even offer similar controls for MLSecOps?
In this talk I will explain how you can reuse existing control mappings for a multi-cloud environment to shorten the time you need to complete AI/ML compliance report and identify missing MLSecOps controls.